At a Glance
- Tasks: Design and implement security for AI systems while assessing risks and enhancing cyber defence.
- Company: Join a forward-thinking company at the forefront of AI and cyber security.
- Benefits: Enjoy a hybrid working model, professional growth opportunities, and an inclusive workplace.
- Why this job: Be a key player in securing innovative AI technologies and shaping the future of cyber security.
- Qualifications: Experience in cyber security and a passion for AI/ML technologies are essential.
The predicted salary is between 60000 - 80000 £ per year.
About the Role
The role will be responsible for supporting the design and implementation of AI-enabled capabilities across Checkout, ensuring AI technologies are deployed in a safe, governed, and resilient manner. The successful candidate will work closely with Engineering, Data Governance, GRC, and business teams to embed security into AI systems, assess AI-related risks, and help the organisation adopt AI securely at scale. As a Cyber Security Engineer I, you will act as the bridge between cyber security and emerging AI technologies. You will help shape how Checkout secures AI tools, models, data pipelines, and supporting infrastructure, while also identifying opportunities to use AI to strengthen cyber defence capabilities. This is a hands-on role suited to someone who understands modern security engineering and has a strong interest in AI/ML technologies, LLMs, automation, and risk management.
Responsibilities
- Design and implement security controls for AI and machine learning solutions, including LLM-based applications, model integrations, and supporting cloud infrastructure.
- Assess the security, privacy, and compliance risks associated with AI systems, including model misuse, prompt injection, data leakage, insecure plugins, over-permissioned access, and third-party AI services.
- Develop standards, guardrails, and reference architectures for the secure use of AI across the organisation.
- Review AI use cases, architectures, and deployments to ensure alignment with cyber security policies, regulatory requirements, and internal governance expectations.
- Build and maintain monitoring, detection, and response capabilities for AI-related threats and misuse scenarios.
- Identify opportunities to use AI to enhance cyber security operations, such as alert triage, threat analysis, playbook automation, knowledge retrieval, and workflow optimisation.
- Stay current on evolving risks, attack techniques, regulations, and industry practices related to AI security and AI governance (inline with EU AI Act, ISO42001).
Qualifications
- Experience in cyber security engineering, security architecture, or a related security role.
- Strong understanding of core security domains such as identity and access management, cloud security, application security, data protection, logging and monitoring, and incident response.
- Knowledge of AI/ML and LLM concepts, including model deployment patterns, APIs, embeddings, vector stores, prompt handling, and common AI security risks.
- Experience securing cloud environments and modern development workflows in platforms such as AWS, Azure, or GCP.
- Familiarity with security risks relevant to AI systems, including prompt injection, data exfiltration, insecure model access, supply chain risks, model poisoning, and sensitive data exposure.
- Experience conducting architecture reviews, threat modelling, and security assessments for complex technical solutions.
- Ability to translate technical risk into clear, practical guidance for both engineering and non-technical stakeholders.
- Strong collaboration skills and the ability to work across cyber security, engineering, data, legal, and business teams.
- A proactive mindset, with the ability to operate in a fast-moving area where standards and best practices continue to evolve.
Benefits
- Hybrid working model with flexibility: three days per week in the office, remote work otherwise.
- Focus on professional growth and ownership from day one.
- Inclusive workplace that supports diversity and inclusion.
Cyber Security Engineer employer: Checkout.com
As a Cyber Security Engineer at Checkout, you will thrive in an inclusive and dynamic work environment that prioritises professional growth and innovation. With a hybrid working model offering flexibility, you will have the opportunity to collaborate with diverse teams while shaping the future of AI security. Join us to make a meaningful impact in a role that bridges cutting-edge technology and robust cyber defence strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Cyber Security Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Cyber Security Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI and cyber security. We love seeing practical examples of your work, so make sure to highlight any hands-on experience you have with AI tools and security measures.
✨Tip Number 3
Prepare for those interviews! Brush up on common cyber security scenarios and be ready to discuss how you’d tackle AI-related risks. We want to see your thought process, so practice articulating your ideas clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are eager to dive into the world of AI and cyber security.
We think you need these skills to ace Cyber Security Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Cyber Security Engineer. Highlight your experience with AI/ML technologies and security engineering, and don’t forget to mention any relevant projects or achievements that showcase your skills.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about cyber security and AI. Share specific examples of how you've tackled challenges in these areas and how you can contribute to our mission at Checkout.
Showcase Your Technical Skills:In your application, be sure to highlight your technical expertise, especially in cloud security and AI-related risks. Mention any tools or frameworks you’ve used, and how they relate to the responsibilities outlined in the job description.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Checkout.com
✨Know Your AI and Cyber Security Basics
Make sure you brush up on your knowledge of AI/ML concepts and core security domains. Be ready to discuss how these areas intersect, especially in relation to risks like prompt injection and data leakage. This will show that you understand the role's requirements and can bridge the gap between cyber security and AI technologies.
✨Prepare Real-World Examples
Think of specific instances where you've designed or implemented security controls for AI systems or cloud environments. Be prepared to share these examples during the interview, as they demonstrate your hands-on experience and problem-solving skills in real-world scenarios.
✨Understand the Regulatory Landscape
Familiarise yourself with relevant regulations like the EU AI Act and ISO42001. Being able to discuss how these regulations impact AI security will show that you're not just technically savvy but also aware of the broader implications of your work.
✨Show Your Collaborative Spirit
This role requires working closely with various teams, so be ready to talk about your collaboration experiences. Highlight times when you've successfully worked with engineering, legal, or business teams to achieve a common goal, showcasing your ability to communicate technical risks to non-technical stakeholders.
